Bcl-2 associated with severity of manic symptoms in bipolar patients in a manic phase

Blood Bcl-2 levels to predict the mortality of septic patients

Aim: To determine whether blood concentrations of Bcl-2 during the 1st week of sepsis could help predict mortality. Methods: Serum Bcl-2 concentrations were determined at the 1st, 4th and 8th days of sepsis diagnosis. Results: Thirty-day surviving patients (n = 168) showed higher serum Bcl-2 levels at the 1st (p = 0.002), 4th (p < 0.001) and 8th days (p < 0.001) of sepsis diagnosis than non-surviving patients (n = 91). An association between serum Bcl-2 concentrations at the 1st (p = 0.003), 4th (p < 0.001) and 8th days (p = 0.01) and 30-day mortality after controlling for diabetes mellitus, Sepsis-related Organ Failure Assessment, lactic acid and age was found in the multiple logistic regression analysis. Conclusions: The novel finding is that blood Bcl-2 concentrations at any time in the 1st week of sepsis are associated with mortality.

Circulating Bcl-2 concentrations and septic patient mortality

INTRODUCTION

There are not data on blood B-cell lymphoma 2 (Bcl-2) concentrations (one of the antiapoptotic molecules of the Bcl-2 family in the intrinsic apoptosis pathway) in septic patients. Therefore, this study was carried with the aims to explore whether blood Bcl-2 concentrations at diagnosis of sepsis are different in survivor and non-survivor septic patients, are associated with mortality, and are useful for the mortality prediction.

METHODS

Intensive Care Units from 3 Spanish hospitals participated in this observational and prospective study with septic patients and serum Bcl-2 concentrations at diagnosis of sepsis were determined. Mortality at 30 days was as outcome variable.

RESULTS

We found that 30-day non-surviving patients (n=81) showed lower serum Bcl-2 levels (p=0.003) than surviving patients (n=140). We found that serum concentrations of Bcl-2<4.4ng/mL were associated with mortality (OR=3.228; 95% CI=1.406-7.415; p=0.006) in the multiple logistic regression analysis, and that showed an area under the curve for mortality prediction of 62% (95% CI=55-68%; p=0.003).

CONCLUSIONS

In our study appears novel findings such as higher blood Bcl-2 concentrations in survivor than in non-survivor septic patients, the association between low blood Bcl-2 concentrations and mortality of septic patients, and the ability of blood Bcl-2 concentrations for the prediction of septic patient mortality.

Circulating Bcl-2 concentrations and septic patient mortality

INTRODUCTION

There are not data on blood B-cell lymphoma 2 (Bcl-2) concentrations (one of the antiapoptotic molecules of the Bcl-2 family in the intrinsic apoptosis pathway) in septic patients. Therefore, this study was carried with the aims to explore whether blood Bcl-2 concentrations at diagnosis of sepsis are different in survivor and non-survivor septic patients, are associated with mortality, and are useful for the mortality prediction.

METHODS

Intensive Care Units from 3 Spanish hospitals participated in this observational and prospective study with septic patients and serum Bcl-2 concentrations at diagnosis of sepsis were determined. Mortality at 30 days was as outcome variable.

RESULTS

We found that 30-day non-surviving patients (n=81) showed lower serum Bcl-2 levels (p=0.003) than surviving patients (n=140). We found that serum concentrations of Bcl-2<4.4ng/mL were associated with mortality (OR=3.228; 95% CI=1.406-7.415; p=0.006) in the multiple logistic regression analysis, and that showed an area under the curve for mortality prediction of 62% (95% CI=55-68%; p=0.003).

CONCLUSIONS

In our study appears novel findings such as higher blood Bcl-2 concentrations in survivor than in non-survivor septic patients, the association between low blood Bcl-2 concentrations and mortality of septic patients, and the ability of blood Bcl-2 concentrations for the prediction of septic patient mortality.

Dissecting the Epigenetic Changes Induced by Non-Antipsychotic Mood Stabilizers on Schizophrenia and Affective Disorders: A Systematic Review

BACKGROUND

Epimutations secondary to gene-environment interactions have a key role in the pathophysiology of major psychiatric disorders. In vivo and in vitro evidence suggest that mood stabilizers can potentially reverse epigenetic deregulations found in patients with schizophrenia or mood disorders through mechanisms that are not yet fully understood. However, their activity on epigenetic processes has made them a research target for therapeutic approaches.

METHODS

We conducted a comprehensive literature search of PubMed and EMBASE for studies investigating the specific epigenetic changes induced by non-antipsychotic mood stabilizers (valproate, lithium, lamotrigine, and carbamazepine) in animal models, human cell lines, or patients with schizophrenia, bipolar disorder, or major depressive disorder. Each paper was reviewed for the nature of research, the species and tissue examined, sample size, mood stabilizer, targeted gene, epigenetic changes found, and associated psychiatric disorder. Every article was appraised for quality using a modified published process and those who met a quality score of moderate or high were included.

RESULTS

A total of 2,429 records were identified; 1,956 records remained after duplicates were removed and were screened via title, abstract and keywords; 129 records were selected for full-text screening and a remaining of 38 articles were included in the qualitative synthesis. Valproate and lithium were found to induce broader epigenetic changes through different mechanisms, mainly DNA demethylation and histones acetylation. There was less literature and hence smaller effects attributable to lamotrigine and carbamazepine could be associated overall with the small number of studies on these agents. Findings were congruent across sample types.

CONCLUSIONS

An advanced understanding of the specific epigenetic changes induced by classic mood stabilizers in patients with major psychiatric disorders will facilitate personalized interventions. Further related drug discovery should target the induction of selective chromatin remodeling and gene-specific expression effects.

Brain-derived neurotrophic factor and glutathione peroxidase as state biomarkers in alcohol use disorder patients undergoing detoxification

The pathophysiology of alcohol use disorder (AUD) is not totally clear. The aim of this study was to investigate the serum levels of brain-derived neurotrophic factor (BDNF) and oxidative stress markers in AUD patients during alcohol detoxification. Evaluation of changes in BDNF, glutathione peroxidase (GPX), catalase, superoxide dismutase, thiobarbituric acid reactive substances, 8-hydroxy 2'-deoxyguanosine, PCC and S100B were carried out.14 AUD inpatients and 20 healthy control subjects were recruited for this study. The serum BDNF, S100B and oxidative stress markers were measured with assay kits.Serum levels of catalase, GPX, PCC and 8-hydroxy 2'-deoxyguanosine were significantly higher in the AUD group subjects than in the controls (P < .05). However, BDNF levels were lower in the AUD group than in the controls (P < .05). After alcohol detoxification treatment, the GPX levels in the AUD group dropped (P < .05) and the BDNF levels rose (P < .05).The results suggest that serum BDNF and GPX levels might be state biomarkers for AUD patients undergoing alcohol detoxification.

Targeting Mitochondrial Dysfunction for Bipolar Disorder

People with bipolar disorder (BD) all too often have suboptimal long-term outcomes with existing treatment options. They experience relapsing episodes of depression and mania and also have interepisodic mood and anxiety symptoms. We need to have a better understanding of the pathophysiology of BD if we are to make progress in improving these outcomes. This chapter will focus on the critical role of mitochondria in human functioning, oxidative stress, and the biological mechanisms of mitochondria in BD. Additionally, this chapter will present the evidence that, at least for some people, BD is a product of mitochondrial dysregulation. We review the modulators of mitochondria, the connection between current BD medication treatments and mitochondria, and additional medications that have theoretical potential to treat BD.

Lithium, Stress, and Resilience in Bipolar Disorder: Deciphering this key homeostatic synaptic plasticity regulator

BACKGROUND

Lithium is the lightest metal and the only mood stabilizer that has been used for over half a century for the treatment of bipolar disorder (BD). As a small ion, lithium is omnipresent, and consequently, its molecular mechanisms and targets are widespread. Currently, lithium is a crucial pharmacotherapy for the treatment of acute mood episodes, prophylactic therapy, and suicide prevention in BD. Besides, lithium blood level is the most widely used biomarker in clinical psychiatry. The concept of stress in BD characterizes short- and long-term deleterious effects at multiple levels (from genes to behaviors) and the ability to establish homeostatic regulatory mechanisms to either prevent or reverse these effects. Within this concept, lithium has consistently shown anti-stress effects, by normalizing components across several levels associated with BD-induced impairments in cellular resilience and plasticity.

METHODS

A literature search for biomarkers associated with lithium effects at multiple targets, with a particular focus on those related to clinical outcomes was performed. An extensive search of the published literature using PubMed, Medline and Google Scholar was performed. Example search terms included lithium, plasticity, stress, efficacy, and neuroimaging. Articles determined by the author to focus on lithium's impact on neural plasticity markers (central and periphery) and clinical outcomes were examined in greater depth. Relevant papers were evaluated, selected and included in this review.

RESULTS

Lithium induces neurotrophic and neuroprotective effects in a wide range of preclinical and translational models. Lithium's neurotrophic effects are related to the enhancement of cellular proliferation, differentiation, growth, and regeneration, whereas its neuroprotective effects limit the progression of neuronal atrophy or cell death following the onset of BD. Lithium's neurotrophic and neuroprotective effects seem most pronounced in the presence of pathology, which again supports its pivotal role as an active homeostatic regulator.

LIMITATIONS

Few studies associated with clinical outcomes. Due to space limitations, the author was unable to detail all findings, in special those originated from preclinical studies.

CONCLUSIONS

These results support a potential role for biomarkers involved in neuroprotection and activation of plasticity pathways in lithium's clinical response. Evidence supporting this model comes from results evaluating macroscopic and microscopic brain structure as well neurochemical findings in vivo from cellular to sub-synaptic (molecules and intracellular signaling) compartments using central and peripheral biomarkers. Challenges to precisely decipher lithium's biological mechanisms involved in its therapeutic profile include the complex nature of the illness and clinical subtypes, family history and comorbid conditions. In the context of personalized medicine, it is necessary to validate predictive biomarkers of response to lithium by designing longitudinal clinical studies during mood episodes and associated clinical dimensions in BD.

The observed alteration in BCL2 expression following lithium treatment is influenced by the choice of normalization method

Upregulation of B-cell CLL/lymphoma (BCL)2 expression following lithium treatment is seemingly well established and has been related to the neuroprotective property of the drug. However, while demonstrated by some (but not all) studies based on low-throughput techniques (e.g. qPCR) this effect is not reflected in high-throughput studies, such as microarrays and RNAseq. This manuscript presents a systematic review of currently available reports of lithium's effect on BCL2 expression. To our surprise, we found that the majority of the literature does not support the effect of lithium on BCL2 transcript or protein levels. Moreover, among the positive reports, several used therapeutically irrelevant lithium doses while others lack statistical power. We also noticed that numerous low-throughput studies normalized the signal using genes/proteins affected by lithium, imposing possible bias. Using wet bench experiments and reanalysis of publicly available microarray data, here we show that the reference gene chosen for normalization critically impacts the outcome of qPCR analyses of lithium's effect on BCL2 expression. Our findings suggest that experimental results might be severely affected by the choice of normalizing genes, and emphasize the need to re-evaluate stability of these genes in the context of the specific experimental conditions.

Associations of Bcl-2 rs956572 genotype groups in the structural covariance network in early-stage Alzheimer's disease

Background

Alzheimer’s disease (AD) is a complex neurodegenerative disease, and genetic differences may mediate neuronal degeneration. In humans, a single-nucleotide polymorphism in the B-cell chronic lymphocytic leukemia/lymphoma-2 (Bcl-2) gene, rs956572, has been found to significantly modulate Bcl-2 protein expression in the brain. The Bcl-2 AA genotype has been associated with reduced Bcl-2 levels and lower gray matter volume in healthy populations. We hypothesized that different Bcl-2 genotype groups may modulate large-scale brain networks that determine neurobehavioral test scores.

Methods

Gray matter structural covariance networks (SCNs) were constructed in 104 patients with AD using T1-weighted magnetic resonance imaging with seed-based correlation analysis. The patients were stratified into two genotype groups on the basis of Bcl-2 expression (G carriers, n = 76; A homozygotes, n = 28). Four SCNs characteristic of AD were constructed from seeds in the default mode network, salience network, and executive control network, and cognitive test scores served as the major outcome factor.

Results

For the G carriers, influences of the SCNs were observed mostly in the default mode network, of which the peak clusters anchored by the posterior cingulate cortex seed determined the cognitive test scores. In contrast, genetic influences in the A homozygotes were found mainly in the executive control network, and both the dorsolateral prefrontal cortex seed and the interconnected peak clusters were correlated with the clinical scores. Despite a small number of cases, the A homozygotes showed greater covariance strength than the G carriers among all four SCNs.

Conclusions

Our results suggest that the Bcl-2 rs956572 polymorphism is associated with different strengths of structural covariance in AD that determine clinical outcomes. The greater covariance strength in the four SCNs shown in the A homozygotes suggests that different Bcl-2 polymorphisms play different modulatory roles.

Electronic supplementary material

The online version of this article (10.1186/s13195-018-0344-4) contains supplementary material, which is available to authorized users.